Quantitative Genomics Training
Quantitative Genomics Training: Methods and tools for whole-genome and transcriptome analyses
The Quantitative Genomics Training is a two-day intensive training of seminars and hands-on analytical sessions to provide an overview of concepts, methods, and tools for whole-genome and transcriptome analyses in human health studies.
This two-day intensive workshop will provide a rigorous introduction to several different techniques to analyze whole-genome sequencing and transcriptome data. Led by a team of experts in statistical genomics and bioinformatics, who have developed their own methods to analyze such data, the training will integrate seminar lectures with hands-on computer lab sessions to put concepts into practice. The training will focus on reviewing existing approaches based on predicted expression association with traits, colocalization of causal variants, and Mendelian Randomization, including discussion on how they relate to each other, and their advantages and limitations. Emphasis will also be given to reviewing integrative sequence based association studies for whole-genome sequencing data, and functional annotation of variants in noncoding regions of the genome.
By the end of the workshop, participants will be familiar with the following topics:
- Sequence based association tests (Burden, SKAT and extensions)
- Functional genomic annotations
- Analysis of genomic variants in human diseases
- Transcriptome wide association tests (PrediXcan, MetaXcan, and extensions)
- Mendelian Randomization techniques
- Colocalization techniques
Investigators at all career stages are welcome to attend, and we particularly encourage trainees and early-stage investigators to participate.
PREREQUISITES AND REQUIREMENTS
There are three prerequisites to attend this workshop:
- Each participant must have an introductory background in statistics and genetics, and/or in bioinformatics or the statistical analysis of genetic data.
- Experience using R/Linux is recommended to get the most out of lab sessions.
- Each participant is required to have a personal laptop/computer and a free, basic RStudio Cloud account. All lab sessions will be done using RStudio Cloud.
ADDITIONAL INFORMATION
Register or view more information.
Email us at Columbia.Genomics@gmail.com.
Capacity is limited. Paid registration is required to attend.